lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.6638 - Accuracy: 0.3048 - F1: 0.2540
sub_1:Test (Best Model) - Loss: 1.6291 - Accuracy: 0.3095 - F1: 0.2473
sub_1:Test (Best Model) - Loss: 1.6157 - Accuracy: 0.3143 - F1: 0.2729
sub_1:Test (Best Model) - Loss: 1.5847 - Accuracy: 0.2762 - F1: 0.2279
sub_1:Test (Best Model) - Loss: 1.7109 - Accuracy: 0.2905 - F1: 0.2415
sub_1:Test (Best Model) - Loss: 1.4794 - Accuracy: 0.3381 - F1: 0.3400
sub_1:Test (Best Model) - Loss: 1.4939 - Accuracy: 0.3667 - F1: 0.3705
sub_1:Test (Best Model) - Loss: 1.4254 - Accuracy: 0.3667 - F1: 0.3722
sub_1:Test (Best Model) - Loss: 1.4270 - Accuracy: 0.3619 - F1: 0.3738
sub_1:Test (Best Model) - Loss: 1.4641 - Accuracy: 0.3667 - F1: 0.3675
sub_1:Test (Best Model) - Loss: 1.5518 - Accuracy: 0.3571 - F1: 0.3596
sub_1:Test (Best Model) - Loss: 1.5168 - Accuracy: 0.2905 - F1: 0.2880
sub_1:Test (Best Model) - Loss: 1.5033 - Accuracy: 0.3333 - F1: 0.3316
sub_1:Test (Best Model) - Loss: 1.6238 - Accuracy: 0.3048 - F1: 0.3129
sub_1:Test (Best Model) - Loss: 1.5079 - Accuracy: 0.3143 - F1: 0.3190
sub_2:Test (Best Model) - Loss: 1.5120 - Accuracy: 0.3333 - F1: 0.2941
sub_2:Test (Best Model) - Loss: 1.5271 - Accuracy: 0.3714 - F1: 0.3290
sub_2:Test (Best Model) - Loss: 1.5236 - Accuracy: 0.3286 - F1: 0.2780
sub_2:Test (Best Model) - Loss: 1.5527 - Accuracy: 0.3524 - F1: 0.2875
sub_2:Test (Best Model) - Loss: 1.5263 - Accuracy: 0.3571 - F1: 0.2889
sub_2:Test (Best Model) - Loss: 1.5511 - Accuracy: 0.3238 - F1: 0.3356
sub_2:Test (Best Model) - Loss: 1.5230 - Accuracy: 0.2905 - F1: 0.3067
sub_2:Test (Best Model) - Loss: 1.4888 - Accuracy: 0.3714 - F1: 0.3841
sub_2:Test (Best Model) - Loss: 1.4912 - Accuracy: 0.3143 - F1: 0.3224
sub_2:Test (Best Model) - Loss: 1.5224 - Accuracy: 0.2857 - F1: 0.2986
sub_2:Test (Best Model) - Loss: 1.5061 - Accuracy: 0.2667 - F1: 0.2657
sub_2:Test (Best Model) - Loss: 1.5144 - Accuracy: 0.3048 - F1: 0.3173
sub_2:Test (Best Model) - Loss: 1.5021 - Accuracy: 0.3143 - F1: 0.3225
sub_2:Test (Best Model) - Loss: 1.5395 - Accuracy: 0.2905 - F1: 0.2935
sub_2:Test (Best Model) - Loss: 1.5326 - Accuracy: 0.2810 - F1: 0.2939
sub_3:Test (Best Model) - Loss: 1.5964 - Accuracy: 0.2619 - F1: 0.1915
sub_3:Test (Best Model) - Loss: 1.6192 - Accuracy: 0.2381 - F1: 0.1496
sub_3:Test (Best Model) - Loss: 1.5601 - Accuracy: 0.2810 - F1: 0.2180
sub_3:Test (Best Model) - Loss: 1.6350 - Accuracy: 0.2762 - F1: 0.2151
sub_3:Test (Best Model) - Loss: 1.6867 - Accuracy: 0.2333 - F1: 0.1296
sub_3:Test (Best Model) - Loss: 1.5737 - Accuracy: 0.2952 - F1: 0.2871
sub_3:Test (Best Model) - Loss: 1.5251 - Accuracy: 0.2857 - F1: 0.2809
sub_3:Test (Best Model) - Loss: 1.5076 - Accuracy: 0.3333 - F1: 0.3282
sub_3:Test (Best Model) - Loss: 1.5255 - Accuracy: 0.3000 - F1: 0.2943
sub_3:Test (Best Model) - Loss: 1.5556 - Accuracy: 0.3429 - F1: 0.3357
sub_3:Test (Best Model) - Loss: 1.5774 - Accuracy: 0.2667 - F1: 0.2703
sub_3:Test (Best Model) - Loss: 1.5593 - Accuracy: 0.2810 - F1: 0.2800
sub_3:Test (Best Model) - Loss: 1.6113 - Accuracy: 0.2857 - F1: 0.2846
sub_3:Test (Best Model) - Loss: 1.6106 - Accuracy: 0.3048 - F1: 0.3115
sub_3:Test (Best Model) - Loss: 1.6410 - Accuracy: 0.2619 - F1: 0.2647
sub_4:Test (Best Model) - Loss: 1.5672 - Accuracy: 0.2762 - F1: 0.2554
sub_4:Test (Best Model) - Loss: 1.5934 - Accuracy: 0.2714 - F1: 0.2576
sub_4:Test (Best Model) - Loss: 1.6210 - Accuracy: 0.2333 - F1: 0.2198
sub_4:Test (Best Model) - Loss: 1.5747 - Accuracy: 0.2762 - F1: 0.2665
sub_4:Test (Best Model) - Loss: 1.5738 - Accuracy: 0.2476 - F1: 0.2332
sub_4:Test (Best Model) - Loss: 1.5816 - Accuracy: 0.2381 - F1: 0.2382
sub_4:Test (Best Model) - Loss: 1.5607 - Accuracy: 0.2762 - F1: 0.2689
sub_4:Test (Best Model) - Loss: 1.6135 - Accuracy: 0.2762 - F1: 0.2658
sub_4:Test (Best Model) - Loss: 1.5718 - Accuracy: 0.2667 - F1: 0.2588
sub_4:Test (Best Model) - Loss: 1.5983 - Accuracy: 0.3143 - F1: 0.3141
sub_4:Test (Best Model) - Loss: 1.5357 - Accuracy: 0.3429 - F1: 0.3275
sub_4:Test (Best Model) - Loss: 1.5539 - Accuracy: 0.3143 - F1: 0.3001
sub_4:Test (Best Model) - Loss: 1.5562 - Accuracy: 0.3190 - F1: 0.2765
sub_4:Test (Best Model) - Loss: 1.5623 - Accuracy: 0.3238 - F1: 0.3084
sub_4:Test (Best Model) - Loss: 1.5191 - Accuracy: 0.3429 - F1: 0.3301
sub_5:Test (Best Model) - Loss: 1.5679 - Accuracy: 0.3667 - F1: 0.3399
sub_5:Test (Best Model) - Loss: 1.6328 - Accuracy: 0.3619 - F1: 0.3266
sub_5:Test (Best Model) - Loss: 1.4683 - Accuracy: 0.4095 - F1: 0.3753
sub_5:Test (Best Model) - Loss: 1.5487 - Accuracy: 0.3857 - F1: 0.3507
sub_5:Test (Best Model) - Loss: 1.5020 - Accuracy: 0.3619 - F1: 0.3361
sub_5:Test (Best Model) - Loss: 1.5123 - Accuracy: 0.3286 - F1: 0.3363
sub_5:Test (Best Model) - Loss: 1.5679 - Accuracy: 0.3333 - F1: 0.3374
sub_5:Test (Best Model) - Loss: 1.5389 - Accuracy: 0.3714 - F1: 0.3789
sub_5:Test (Best Model) - Loss: 1.5182 - Accuracy: 0.3238 - F1: 0.3314
sub_5:Test (Best Model) - Loss: 1.5242 - Accuracy: 0.3381 - F1: 0.3470
sub_5:Test (Best Model) - Loss: 1.5007 - Accuracy: 0.3095 - F1: 0.3231
sub_5:Test (Best Model) - Loss: 1.4768 - Accuracy: 0.3524 - F1: 0.3700
sub_5:Test (Best Model) - Loss: 1.5270 - Accuracy: 0.3238 - F1: 0.3431
sub_5:Test (Best Model) - Loss: 1.5089 - Accuracy: 0.2857 - F1: 0.2974
sub_5:Test (Best Model) - Loss: 1.4962 - Accuracy: 0.3190 - F1: 0.3344
sub_6:Test (Best Model) - Loss: 1.7342 - Accuracy: 0.2190 - F1: 0.2193
sub_6:Test (Best Model) - Loss: 1.6331 - Accuracy: 0.2476 - F1: 0.2493
sub_6:Test (Best Model) - Loss: 1.6399 - Accuracy: 0.2286 - F1: 0.2325
sub_6:Test (Best Model) - Loss: 1.6365 - Accuracy: 0.2619 - F1: 0.2546
sub_6:Test (Best Model) - Loss: 1.6020 - Accuracy: 0.2857 - F1: 0.2796
sub_6:Test (Best Model) - Loss: 1.7052 - Accuracy: 0.2619 - F1: 0.2616
sub_6:Test (Best Model) - Loss: 1.6594 - Accuracy: 0.2429 - F1: 0.2403
sub_6:Test (Best Model) - Loss: 1.6413 - Accuracy: 0.2952 - F1: 0.2921
sub_6:Test (Best Model) - Loss: 1.6350 - Accuracy: 0.2095 - F1: 0.2016
sub_6:Test (Best Model) - Loss: 1.5692 - Accuracy: 0.2524 - F1: 0.2534
sub_6:Test (Best Model) - Loss: 1.6111 - Accuracy: 0.2714 - F1: 0.2689
sub_6:Test (Best Model) - Loss: 1.6375 - Accuracy: 0.2238 - F1: 0.2178
sub_6:Test (Best Model) - Loss: 1.5960 - Accuracy: 0.3190 - F1: 0.3083
sub_6:Test (Best Model) - Loss: 1.6471 - Accuracy: 0.2333 - F1: 0.2256
sub_6:Test (Best Model) - Loss: 1.6249 - Accuracy: 0.2762 - F1: 0.2701
sub_7:Test (Best Model) - Loss: 1.7109 - Accuracy: 0.2762 - F1: 0.2745
sub_7:Test (Best Model) - Loss: 1.6579 - Accuracy: 0.2571 - F1: 0.2546
sub_7:Test (Best Model) - Loss: 1.6701 - Accuracy: 0.2381 - F1: 0.2178
sub_7:Test (Best Model) - Loss: 1.6857 - Accuracy: 0.2476 - F1: 0.2385
sub_7:Test (Best Model) - Loss: 1.6544 - Accuracy: 0.2619 - F1: 0.2538
sub_7:Test (Best Model) - Loss: 1.6649 - Accuracy: 0.2143 - F1: 0.1944
sub_7:Test (Best Model) - Loss: 1.6799 - Accuracy: 0.2238 - F1: 0.2259
sub_7:Test (Best Model) - Loss: 1.6877 - Accuracy: 0.1905 - F1: 0.1933
sub_7:Test (Best Model) - Loss: 1.6414 - Accuracy: 0.2143 - F1: 0.2116
sub_7:Test (Best Model) - Loss: 1.6574 - Accuracy: 0.2143 - F1: 0.2165
sub_7:Test (Best Model) - Loss: 1.6182 - Accuracy: 0.2667 - F1: 0.2673
sub_7:Test (Best Model) - Loss: 1.6850 - Accuracy: 0.2714 - F1: 0.2628
sub_7:Test (Best Model) - Loss: 1.6490 - Accuracy: 0.2476 - F1: 0.2449
sub_7:Test (Best Model) - Loss: 1.6587 - Accuracy: 0.2524 - F1: 0.2492
sub_7:Test (Best Model) - Loss: 1.6118 - Accuracy: 0.2476 - F1: 0.2498
sub_8:Test (Best Model) - Loss: 1.4717 - Accuracy: 0.4333 - F1: 0.4130
sub_8:Test (Best Model) - Loss: 1.4793 - Accuracy: 0.3810 - F1: 0.3632
sub_8:Test (Best Model) - Loss: 1.4470 - Accuracy: 0.3762 - F1: 0.3548
sub_8:Test (Best Model) - Loss: 1.5007 - Accuracy: 0.3381 - F1: 0.3210
sub_8:Test (Best Model) - Loss: 1.4664 - Accuracy: 0.3905 - F1: 0.3728
sub_8:Test (Best Model) - Loss: 1.4505 - Accuracy: 0.3762 - F1: 0.3880
sub_8:Test (Best Model) - Loss: 1.4783 - Accuracy: 0.3524 - F1: 0.3699
sub_8:Test (Best Model) - Loss: 1.4163 - Accuracy: 0.3238 - F1: 0.3275
sub_8:Test (Best Model) - Loss: 1.4195 - Accuracy: 0.3333 - F1: 0.3403
sub_8:Test (Best Model) - Loss: 1.4321 - Accuracy: 0.3714 - F1: 0.3842
sub_8:Test (Best Model) - Loss: 1.5722 - Accuracy: 0.3429 - F1: 0.3589
sub_8:Test (Best Model) - Loss: 1.5401 - Accuracy: 0.3286 - F1: 0.3433
sub_8:Test (Best Model) - Loss: 1.5373 - Accuracy: 0.3571 - F1: 0.3686
sub_8:Test (Best Model) - Loss: 1.5200 - Accuracy: 0.3381 - F1: 0.3485
sub_8:Test (Best Model) - Loss: 1.6395 - Accuracy: 0.3524 - F1: 0.3674
sub_9:Test (Best Model) - Loss: 1.5188 - Accuracy: 0.3429 - F1: 0.3199
sub_9:Test (Best Model) - Loss: 1.5683 - Accuracy: 0.3381 - F1: 0.3058
sub_9:Test (Best Model) - Loss: 1.5023 - Accuracy: 0.3857 - F1: 0.3487
sub_9:Test (Best Model) - Loss: 1.5604 - Accuracy: 0.3143 - F1: 0.2723
sub_9:Test (Best Model) - Loss: 1.5444 - Accuracy: 0.2952 - F1: 0.2608
sub_9:Test (Best Model) - Loss: 1.5387 - Accuracy: 0.3381 - F1: 0.3233
sub_9:Test (Best Model) - Loss: 1.5290 - Accuracy: 0.3476 - F1: 0.3325
sub_9:Test (Best Model) - Loss: 1.5622 - Accuracy: 0.3286 - F1: 0.3166
sub_9:Test (Best Model) - Loss: 1.5430 - Accuracy: 0.3190 - F1: 0.3008
sub_9:Test (Best Model) - Loss: 1.5304 - Accuracy: 0.3429 - F1: 0.3208
sub_9:Test (Best Model) - Loss: 1.6418 - Accuracy: 0.2095 - F1: 0.2175
sub_9:Test (Best Model) - Loss: 1.5855 - Accuracy: 0.2905 - F1: 0.2927
sub_9:Test (Best Model) - Loss: 1.6347 - Accuracy: 0.2810 - F1: 0.2932
sub_9:Test (Best Model) - Loss: 1.5951 - Accuracy: 0.2429 - F1: 0.2478
sub_9:Test (Best Model) - Loss: 1.6428 - Accuracy: 0.2619 - F1: 0.2771
sub_10:Test (Best Model) - Loss: 1.6478 - Accuracy: 0.2810 - F1: 0.2812
sub_10:Test (Best Model) - Loss: 1.6229 - Accuracy: 0.2714 - F1: 0.2612
sub_10:Test (Best Model) - Loss: 1.6449 - Accuracy: 0.2667 - F1: 0.2613
sub_10:Test (Best Model) - Loss: 1.6413 - Accuracy: 0.2524 - F1: 0.2423
sub_10:Test (Best Model) - Loss: 1.6248 - Accuracy: 0.2810 - F1: 0.2770
sub_10:Test (Best Model) - Loss: 1.6236 - Accuracy: 0.2333 - F1: 0.2277
sub_10:Test (Best Model) - Loss: 1.5707 - Accuracy: 0.2762 - F1: 0.2709
sub_10:Test (Best Model) - Loss: 1.6141 - Accuracy: 0.2619 - F1: 0.2613
sub_10:Test (Best Model) - Loss: 1.5660 - Accuracy: 0.2810 - F1: 0.2805
sub_10:Test (Best Model) - Loss: 1.6101 - Accuracy: 0.2333 - F1: 0.2374
sub_10:Test (Best Model) - Loss: 1.6597 - Accuracy: 0.2524 - F1: 0.2504
sub_10:Test (Best Model) - Loss: 1.6203 - Accuracy: 0.2714 - F1: 0.2694
sub_10:Test (Best Model) - Loss: 1.6545 - Accuracy: 0.3238 - F1: 0.3161
sub_10:Test (Best Model) - Loss: 1.6525 - Accuracy: 0.2667 - F1: 0.2625
sub_10:Test (Best Model) - Loss: 1.6951 - Accuracy: 0.2476 - F1: 0.2449
sub_11:Test (Best Model) - Loss: 1.7502 - Accuracy: 0.2571 - F1: 0.2482
sub_11:Test (Best Model) - Loss: 1.6818 - Accuracy: 0.2095 - F1: 0.2042
sub_11:Test (Best Model) - Loss: 1.6676 - Accuracy: 0.2048 - F1: 0.1963
sub_11:Test (Best Model) - Loss: 1.6643 - Accuracy: 0.2333 - F1: 0.2257
sub_11:Test (Best Model) - Loss: 1.6782 - Accuracy: 0.3000 - F1: 0.2874
sub_11:Test (Best Model) - Loss: 1.5956 - Accuracy: 0.2429 - F1: 0.2432
sub_11:Test (Best Model) - Loss: 1.5716 - Accuracy: 0.3000 - F1: 0.3031
sub_11:Test (Best Model) - Loss: 1.5140 - Accuracy: 0.3429 - F1: 0.3455
sub_11:Test (Best Model) - Loss: 1.5694 - Accuracy: 0.2810 - F1: 0.2890
sub_11:Test (Best Model) - Loss: 1.6011 - Accuracy: 0.2952 - F1: 0.3003
sub_11:Test (Best Model) - Loss: 1.5678 - Accuracy: 0.2905 - F1: 0.2947
sub_11:Test (Best Model) - Loss: 1.5380 - Accuracy: 0.3238 - F1: 0.3183
sub_11:Test (Best Model) - Loss: 1.6023 - Accuracy: 0.3048 - F1: 0.3060
sub_11:Test (Best Model) - Loss: 1.5807 - Accuracy: 0.3143 - F1: 0.3160
sub_11:Test (Best Model) - Loss: 1.5647 - Accuracy: 0.3333 - F1: 0.3342
sub_12:Test (Best Model) - Loss: 1.5105 - Accuracy: 0.2857 - F1: 0.2961
sub_12:Test (Best Model) - Loss: 1.5065 - Accuracy: 0.3143 - F1: 0.3193
sub_12:Test (Best Model) - Loss: 1.4872 - Accuracy: 0.3619 - F1: 0.3507
sub_12:Test (Best Model) - Loss: 1.4657 - Accuracy: 0.4048 - F1: 0.4026
sub_12:Test (Best Model) - Loss: 1.5158 - Accuracy: 0.2857 - F1: 0.2999
sub_12:Test (Best Model) - Loss: 1.5575 - Accuracy: 0.2952 - F1: 0.2401
sub_12:Test (Best Model) - Loss: 1.5187 - Accuracy: 0.2952 - F1: 0.2401
sub_12:Test (Best Model) - Loss: 1.5754 - Accuracy: 0.3000 - F1: 0.2535
sub_12:Test (Best Model) - Loss: 1.5893 - Accuracy: 0.3238 - F1: 0.2728
sub_12:Test (Best Model) - Loss: 1.5573 - Accuracy: 0.2952 - F1: 0.2436
sub_12:Test (Best Model) - Loss: 1.6445 - Accuracy: 0.2619 - F1: 0.2767
sub_12:Test (Best Model) - Loss: 1.7136 - Accuracy: 0.2000 - F1: 0.2215
sub_12:Test (Best Model) - Loss: 1.6303 - Accuracy: 0.2524 - F1: 0.2713
sub_12:Test (Best Model) - Loss: 1.6204 - Accuracy: 0.2762 - F1: 0.2868
sub_12:Test (Best Model) - Loss: 1.8344 - Accuracy: 0.2190 - F1: 0.2376
sub_13:Test (Best Model) - Loss: 1.5709 - Accuracy: 0.2429 - F1: 0.2312
sub_13:Test (Best Model) - Loss: 1.5889 - Accuracy: 0.2143 - F1: 0.2054
sub_13:Test (Best Model) - Loss: 1.5736 - Accuracy: 0.2524 - F1: 0.2309
sub_13:Test (Best Model) - Loss: 1.6039 - Accuracy: 0.2619 - F1: 0.2396
sub_13:Test (Best Model) - Loss: 1.5747 - Accuracy: 0.2381 - F1: 0.2245
sub_13:Test (Best Model) - Loss: 1.5828 - Accuracy: 0.2905 - F1: 0.2697
sub_13:Test (Best Model) - Loss: 1.5876 - Accuracy: 0.2429 - F1: 0.2259
sub_13:Test (Best Model) - Loss: 1.6814 - Accuracy: 0.2476 - F1: 0.2349
sub_13:Test (Best Model) - Loss: 1.5394 - Accuracy: 0.2857 - F1: 0.2819
sub_13:Test (Best Model) - Loss: 1.5455 - Accuracy: 0.2905 - F1: 0.2787
sub_13:Test (Best Model) - Loss: 1.5697 - Accuracy: 0.2905 - F1: 0.2717
sub_13:Test (Best Model) - Loss: 1.5401 - Accuracy: 0.3476 - F1: 0.3310
sub_13:Test (Best Model) - Loss: 1.5527 - Accuracy: 0.2905 - F1: 0.2812
sub_13:Test (Best Model) - Loss: 1.5115 - Accuracy: 0.3381 - F1: 0.3192
sub_13:Test (Best Model) - Loss: 1.5820 - Accuracy: 0.2619 - F1: 0.2513
sub_14:Test (Best Model) - Loss: 1.6233 - Accuracy: 0.3000 - F1: 0.3148
sub_14:Test (Best Model) - Loss: 1.5888 - Accuracy: 0.2762 - F1: 0.2910
sub_14:Test (Best Model) - Loss: 1.5790 - Accuracy: 0.3667 - F1: 0.3764
sub_14:Test (Best Model) - Loss: 1.5754 - Accuracy: 0.3143 - F1: 0.3337
sub_14:Test (Best Model) - Loss: 1.6815 - Accuracy: 0.2476 - F1: 0.2510
sub_14:Test (Best Model) - Loss: 1.4866 - Accuracy: 0.3905 - F1: 0.3555
sub_14:Test (Best Model) - Loss: 1.5233 - Accuracy: 0.3429 - F1: 0.3081
sub_14:Test (Best Model) - Loss: 1.4866 - Accuracy: 0.3857 - F1: 0.3550
sub_14:Test (Best Model) - Loss: 1.4978 - Accuracy: 0.3810 - F1: 0.3537
sub_14:Test (Best Model) - Loss: 1.5163 - Accuracy: 0.3381 - F1: 0.3265
sub_14:Test (Best Model) - Loss: 1.5389 - Accuracy: 0.3381 - F1: 0.3158
sub_14:Test (Best Model) - Loss: 1.5317 - Accuracy: 0.3476 - F1: 0.3046
sub_14:Test (Best Model) - Loss: 1.5525 - Accuracy: 0.3095 - F1: 0.2754
sub_14:Test (Best Model) - Loss: 1.5539 - Accuracy: 0.3286 - F1: 0.2936
sub_14:Test (Best Model) - Loss: 1.5930 - Accuracy: 0.3143 - F1: 0.2790

=== Summary Results ===

acc: 29.80 ± 3.35
F1: 28.83 ± 3.46
acc-in: 34.54 ± 4.13
F1-in: 33.83 ± 4.36
